| GraphBIG: understanding graph computing in the context of industrial solutions L Nai, Y Xia, IG Tanase, H Kim, CY Lin Proceedings of the International Conference for High Performance Computing …, 2015 | 193 | 2015 |
| Labeling trick: A theory of using graph neural networks for multi-node representation learning M Zhang, P Li, Y Xia, K Wang, L Jin Advances in Neural Information Processing Systems 34, 9061-9073, 2021 | 188 | 2021 |
| Decoupling the depth and scope of graph neural networks H Zeng, M Zhang, Y Xia, A Srivastava, A Malevich, R Kannan, V Prasanna, ... Advances in Neural Information Processing Systems 34, 19665-19679, 2021 | 170 | 2021 |
| LDBC Graphalytics: A benchmark for large-scale graph analysis on parallel and distributed platforms A Iosup, T Hegeman, WL Ngai, S Heldens, A Prat-Pérez, T Manhardto, ... Proceedings of the VLDB Endowment 9 (13), 1317-1328, 2016 | 158 | 2016 |
| Adaptive sampling schemes for clustering streaming graphs KL Wu, Y Xia US Patent 9,886,521, 2018 | 133 | 2018 |
| Insider threat prediction AR Coden, CY Lin, WY Lin, Y Xia US Patent 9,589,245, 2017 | 106 | 2017 |
| Revisiting graph neural networks for link prediction M Zhang, P Li, Y Xia, K Wang, L Jin | 74 | 2020 |
| Topologically adaptive parallel breadth-first search on multicore processors Y Xia, VK Prasanna Proc. 21st Int’l. Conf. on Parallel and Distributed Computing Systems (PDCS’09), 2009 | 71 | 2009 |
| Explainable fairness in recommendation Y Ge, J Tan, Y Zhu, Y Xia, J Luo, S Liu, Z Fu, S Geng, Z Li, Y Zhang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 63 | 2022 |
| Llm-rec: Personalized recommendation via prompting large language models H Lyu, S Jiang, H Zeng, Y Xia, Q Wang, S Zhang, R Chen, C Leung, ... arXiv preprint arXiv:2307.15780, 2023 | 57 | 2023 |
| Rawlsgcn: Towards rawlsian difference principle on graph convolutional network J Kang, Y Zhu, Y Xia, J Luo, H Tong Proceedings of the ACM Web Conference 2022, 1214-1225, 2022 | 57 | 2022 |
| Joint knowledge graph completion and question answering L Liu, B Du, J Xu, Y Xia, H Tong Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 49 | 2022 |
| Scalable spectral clustering using random binning features L Wu, PY Chen, IEH Yen, F Xu, Y Xia, C Aggarwal Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 46 | 2018 |
| Balancing consistency and disparity in network alignment S Zhang, H Tong, L Jin, Y Xia, Y Guo Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 43 | 2021 |
| Thermal face image use for health estimation JH Lai, Y Xia, JH Hsiao, Y Zhang US Patent App. 15/870,617, 2019 | 41 | 2019 |
| Scalable global alignment graph kernel using random features: From node embedding to graph embedding L Wu, IEH Yen, Z Zhang, K Xu, L Zhao, X Peng, Y Xia, C Aggarwal Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 40 | 2019 |
| Graph analytics and storage Y Xia, IG Tanase, L Nai, W Tan, Y Liu, J Crawford, CY Lin 2014 IEEE International Conference on Big Data (Big Data), 942-951, 2014 | 34 | 2014 |
| A message-passing multi-softcore architecture on FPGA for breadth-first search Q Wang, W Jiang, Y Xia, V Prasanna 2010 International Conference on Field-Programmable Technology, 70-77, 2010 | 34 | 2010 |
| Sparkbench–a spark performance testing suite D Agrawal, A Butt, K Doshi, JL Larriba-Pey, M Li, FR Reiss, F Raab, ... Performance Evaluation and Benchmarking: Traditional to Big Data to Internet …, 2016 | 33 | 2016 |
| Parallel exact inference on a CPU-GPGPU heterogenous system H Jeon, Y Xia, VK Prasanna 2010 39th International Conference on Parallel Processing, 61-70, 2010 | 31 | 2010 |
